Digital twin accelerates industrial innovation with optimized business processes, value efficiency and better labour productivity. Maurizio Galardo, Chief Technologist of Havana explains this.

The Covid-19 pandemic forced companies around the world to re-evaluate their priorities and accelerate digital transformation. In all sectors, companies are assessing their level of digitisation, not only to continue to operate, but also to grow in the new normality. For everyone, digital transformation is clearly the way forward.

But digital solutions alone are not enough to ensure the benefits of digital transformation; especially in manufacturing, the real impulse is given by the technologies of Industry 4.0, such as Artificial Intelligence, the cloud and the Inter

These, all the more so if implemented at the same time, can really accelerate the achievement of important objectives, such as optimization of business processes, greater efficiency, without forgetting an improvement in the productivity of operators.

Maurizio Galardo, Chief Technologist of Hava explains that the digital twin is at the heart of these technologies. As a live replica of potential and actual physical assets, processes, people, systems and devices, a digital twin allows you to get data insights, highlights the efficiency of a process and accelerates work automation.

Digital twin in different industrial sectors

In the industrial sector, digital twins are used in different ways: to test new assets and processes, improve operations and train staff.

IDC estimates that digital transformation spending will reach $2,300 billion by 2023. But to express all its potential, digital transformation must follow a holistic strategy at the company level.

And here, a digital twin can really make a difference, enabling transformation and synchronizing business and operational goals.

In manufacturing, a digital twin can track in real time the efficiency of the plants, machines and other fixed assets present on the plant. The superimposition of this technology to machine learning and all the IoT allows a holistic vision of assets, giving the possibility to adopt a correct predictive maintenance, avoiding blocks of unplanned plants.

Used in the supply chain, the combination of digital twin with machine learning technologies and IIoT offers end-to-end visibility, giving manufacturers and customers the opportunity to know exactly where a shipment is located at any time,

In the mining sector, digital twin can graphically return information on the life cycle of assets.

By virtually simulating extraction operations, it provides information on plant temperatures, electricity consumption, pump pressure and flow, allowing engineers to shape virtual sandblasting, metallurgy and process control scenarios remotely, for optimal performance.

Thanks to the possibility of having, in a single display, all the information concerning their operations, the enterprises can rely on a functional intelligence that gives impetus to innovation and increases the company value.

The use of predictive analysis results in an improvement of operations and maintenance and in significant savings in terms of costs and blockages of the avoided installations.

In addition, the digital twin allows you to always assume new scenarios of use, in compliance with the law and safety rules, and to evaluate the scenarios of greater value for the next generation products or processes.

Implement the digital twin in four moves

Digital twin transforms new and existing data into insights that drive companies to continuously improve processes, without too much risk.

Galardo identifies four steps that summarize a correct strategy for implementing digital twin in a company

Establish a digital twin model powered by accurate data flows, so as to have a clear picture of the performance of individual assets and possibly make changes, where necessary, to gain benefits in the short and long term. Evaluating how simulations of digital twin and predictive analysis can improve corporate value through improved operations or processes and risk control. Develop a digital twin strategy to plan programs and projects for digital transformation. Implement the digital twin to map connections between current and future developments and determine how the enterprise or project responds to internal or external changes.

Gartner estimates that by 2021, digital twins will be used for billions of scenarios. Companies that will be able to exploit the intelligent management of digital twin data masters will really achieve results in terms of business innovation, bottom-line improvements and value for stakeholders, current and future.

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